摘要
铁路列车受电弓的升降弓时间和升降弓位移曲线是判断受电弓状态的重要参考指标。基于机器视觉和图像处理技术设计一种非接触式检测受电弓升降弓时间和弓头位移曲线的方法。在受电弓转臂节点处以及平衡杆上添加标记点,用于图像的跟踪和检测;利用高速工业相机拍摄受电弓的升降弓过程图片;对受电弓标记点进行粗定位,识别标记点大致区域;基于模板匹配方法在此区域内进行目标跟踪和特征提取,得到标记点的具体位置信息,从而得到升降弓弓头位移曲线和升降弓时长。通过试验证明了该方法的有效性。
The time and displacement curve of the trainpantograph are important reference indicators for judging the states of the pantograph. Based on machine vision and image processing technology, a method for non-contact detection of the pantograph lifting time and pantograph-head displacement curve was designed. Mark points were added at the tumbler node of the pantograph and on balance bar for images tracking and detecting. The pictures of the pantograph were taken by high-speed industrial cameras. The pantograph marking points were roughly located to identify the approximate area of the marking points, within which target tracking and feature extraction were performed by template matching method to abtain the specific location information of the marker points. Thus, the pantograph-head displacement curve and the pantograph lifting time were calculated. The effectiveness of he new method was verified through experiments.
作者
王俊东
周宁
李艳
张卫华
WANG Jundong;ZHOU Ning;LI Yan;ZHANG Weihua(State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,China;China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu 610031,China)
出处
《机械制造与自动化》
2022年第5期172-176,共5页
Machine Building & Automation
基金
国家自然科学基金项目(52072319)
中国铁路总公司科技研究开发计划项目(P2018J001)
中铁二院工程集团有限责任公司科研项目(科2019-32)。
关键词
机器视觉
图像处理
受电弓
升降弓时间
升降弓位移曲线
模板匹配
machine vision
image processing
pantograph
pantograph lifting time
pantograph-head displacement curve
template matching